Journal article
Revisiting Tourism Destination Image: A Holistic Measurement Framework Using Big Data
Journal of Travel Research, Vol.61(6), pp.1287-1307
07/2022
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Source: InCites
Abstract
Understanding and being able to measure, analyze, compare, and contrast the image of a tourism destination, also known as tourism destination image (TDI), is critical in tourism management and destination marketing. Although various methodologies have been developed, a consistent, reliable, and scalable method for measuring TDI is still unavailable. This study aims to address the challenge by proposing a framework for a holistic measure of TDI in four dimensions, including popularity, sentiment, time, and location. A structural model for TDI measurement that covers various aspects of a tourism destination is developed. TDI is then measured by a comprehensive computational framework that can analyze complex textual and visual data on a large scale. A case study using more than 30,000 images, and 10,000 comments in relation to three tourism destinations in Australia demonstrates the effectiveness of the proposed framework.
Details
- Title
- Revisiting Tourism Destination Image: A Holistic Measurement Framework Using Big Data
- Creators
- Vinh Bui - Southern Cross UniversityAli Reza Alaei - Southern Cross UniversityHuy Quan Vu - Deakin UniversityGang Li - Deakin UniversityRob Law - Hong Kong Polytechnic University (The)
- Publication Details
- Journal of Travel Research, Vol.61(6), pp.1287-1307
- Publisher
- Sage Publications, Inc.
- Grant note
- The work described in this paper was partially supported by a grant funded by Southern Cross University.
- Identifiers
- 991012948492502368
- Copyright
- © The Author(s) 2021
- Academic Unit
- Information Technology; Science; Faculty of Science and Engineering; School of Environment, Science and Engineering
- Language
- English
- Resource Type
- Journal article